1. Introduction Nature, as a rich source of solutions, can be an inspirational guide to answer scientific expectations [1]. Seed dispersal mechanism as one of the most common reproduction [2] method among the plants is a unique technique with millions of years of evolutionary history [3]. Inspired by plants survival, a novel method of optimization […]
Tag: AI
Rain optimization algorithm (ROA): Inspired by the Raindrop’s behaviour used for the Application of Forecasting Rainfall using Machine Learning Strategies
1. Introduction A new optimization algorithm called Rain optimization Algorithm (ROA) [1] is validated by applying on computationally expensive benchmark problems [2]. ROA mimics the natural behavior of raindrops trickling down a hill (high position) towards a valley (low position) [3]. 2. Inspiration of ROA The main inspiration of ROA is from raindrop behavior [4]. Raindrops naturally trickle down along […]
Continue ReadingSandpiper Optimization Algorithm (SOA): A New Approach to Solve Challenging Real- Life Problems
1. Introduction In different real-world problems there is a need to minimize production cost, risks, and maximize reliability etc [1]. Optimization is the process of determining the best value for a decision variable of a function so as to minimize or maximize an objective function [2]. The objective of the optimization process is to determine […]
Continue ReadingVapour – Liquid Equilibrium (VLE): An Algorithm Inspired by the Chemical Phenomenon for Solving a New Patient Bed Assignment Problem
1. Introduction In Chemistry, the vapor-liquid equilibrium process describes the distribution of chemical species combining two essential phases [1]: vapor phase and liquid phase. Using a binary system of compounds is possible to simulate a search process based on the equilibrium between both phases [2]. Understanding the distribution of chemical components in both the vapor and liquid phase, called vapor-liquid […]
Continue ReadingBorder Collie Optimization (BOC): Algorithm mimicking the Sheep Herding Styles of Border Collie Dogs used for Solving Real World Optimization Problem
1. Introduction The Border collie is often considered to be the brightest dog from other breeds that are considered to have higher cognitive skill levels [1]. It is known that dogs, like people, have different levels of intelligence [2]. Intelligence is determined by the ability of the dog to learn, which generally means the ability […]
Continue ReadingA Novel Game Based Algorithm: Shell Game Optimization (SGO) Simulating the Rules of Game for Solving Optimization Problems in Different Fields of Science
1. Introduction Shell Game Optimization (SGO) simulating the rules of a game known as shell game to design an algorithm for solving optimization problems in different fields of science [1]. The key idea of the SGO is to find the ball hidden under one of the three shells, which should be guessed by players [2]. […]
Continue ReadingGroundwater Flow Algorithm (GWFA): Inspired by the Movement of Groundwater Flow Applied to Several Standard Engineering Problems
1. Introduction Groundwater is one of the most valuable natural resources especially in arid regions due to negligible rainfall and the scarcity of surface water resources [1]. Groundwater models are computer models of groundwater flow systems, and are used by various types of numerical solutions like the finite difference method and the finite element method. 2. Optimization Approach Technique Optimization […]
Continue ReadingA Novel Parameter –free Optimization Algorithm for Solving Real Engineering Problems: Golden Ratio Optimization Method (GROM)
1. Introduction A new meta-heuristic optimization algorithm known as golden ratio optimization method (GROM) that is based on natural growth [1]. The golden ratio is often found in nature and even in the human body while many of the most often examples of the golden ratio have been found in plants, animals, insects and other natural […]
Continue ReadingA Brand – New Metaheuristic Algorithm: Slime Mould Algorithm to Tackle the Optimization Problem
1. Introduction The giant single-celled slime mould Physarum polycephalum is known to approximate a number of network problems via growth and adaptation of its protoplasmic transport network and can serve as an inspiration towards unconventional, material-based computation [1]. It is clear that humans cannot live without the rhythmic patterns of signals or material flows.Therfore a […]
Continue ReadingShuffled Shepherd Optimization Algorithm (SSOA): To Find the Right Parameters for Each Problem
1. Introduction In today’s extremely competitive world, everybody offers the maximum output or profit from a limited amount of available resources [1]. Optimization offers a suitable technique for finding maximum output or profit. That is why optimization techniques are becoming more popular. A new population-based meta-heuristic optimization algorithm of Shuffled shepherd optimization algorithm (SSOA) is […]
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